STARDIS is an open-source, modular 1D LTE stellar spectral synthesis code for FGK stars that agrees with korg at the few percent level redward of about 4000 Å and diverges in the ultraviolet.
Productivity, Portability, Performance: Data-Centric Python
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
Python has become the de facto language for scientific computing. Programming in Python is highly productive, mainly due to its rich science-oriented software ecosystem built around the NumPy module. As a result, the demand for Python support in High Performance Computing (HPC) has skyrocketed. However, the Python language itself does not necessarily offer high performance. In this work, we present a workflow that retains Python's high productivity while achieving portable performance across different architectures. The workflow's key features are HPC-oriented language extensions and a set of automatic optimizations powered by a data-centric intermediate representation. We show performance results and scaling across CPU, GPU, FPGA, and the Piz Daint supercomputer (up to 23,328 cores), with 2.47x and 3.75x speedups over previous-best solutions, first-ever Xilinx and Intel FPGA results of annotated Python, and up to 93.16% scaling efficiency on 512 nodes.
fields
astro-ph.SR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Introducing STARDIS: An Open and Modular Stellar Spectral Synthesis Code
STARDIS is an open-source, modular 1D LTE stellar spectral synthesis code for FGK stars that agrees with korg at the few percent level redward of about 4000 Å and diverges in the ultraviolet.